{"id":"W2896839095","doi":"10.1002/jcp.27519","title":"Predictive and therapeutic biomarkers in chimeric antigen receptor T‐cell therapy: A clinical perspective","year":2018,"lang":"en","type":"review","venue":"Journal of Cellular Physiology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute for Medical Research Development; Tehran University of Medical Sciences and Health Services","keywords":"Chimeric antigen receptor; Medicine; Immunotherapy; Biomarker; Clinical trial; Cell therapy; Adverse effect; Cancer; Immunology; Oncology; Cell; Pharmacology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002877612,0.001109675,0.002198422,0.002951783,0.0002953108,0.001820941,0.001430251,0.002658435,0.001688434],"category_scores_gemma":[0.002335173,0.0003979926,0.0008334927,0.002370687,0.00141718,0.002834874,0.00100217,0.004339818,0.001133371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104304,"about_ca_system_score_gemma":0.001523195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008717174,"about_ca_topic_score_gemma":0.001130196,"domain_scores_codex":[0.9994235,0.0001833014,0.00008368032,0.00008046906,0.0001834945,0.00004564997],"domain_scores_gemma":[0.9982286,0.001185428,0.0001252961,0.00004341061,0.0003371522,0.00008019644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001700209,0.000142462,0.0003352689,0.01155053,0.0001263426,0.0003130265,0.0001037091,0.0006107483,0.001639041,0.01473856,0.02467783,0.9455925],"study_design_scores_gemma":[0.00004214506,0.000223726,0.0007903145,0.006232801,0.0001635833,0.001682297,0.0001085172,0.0003019868,0.0007593142,0.00729032,0.9823667,0.00003820918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005319474,0.9986713,0.000154924,0.0006287465,0.0001902662,0.000002972699,0.000004856653,0.000003387045,0.0002903552],"genre_scores_gemma":[0.000871516,0.9975882,0.0003629901,0.0004978414,0.0003766533,0.0000104876,0.00001359352,0.000001649929,0.0002771672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002951783,"threshold_uncertainty_score":0.01521844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08719668679768336,"score_gpt":0.4173001961641955,"score_spread":0.3301035093665121,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}